| Cross-stitch Networks for Multi-task Learning I Misra, A Shrivastava, A Gupta, M Hebert Computer Vision Pattern Recognition (CVPR), 2016 | 536 | 2016 |
| Shuffle and Learn: Unsupervised Learning using Temporal Order Verification I Misra, CL Zitnick, M Hebert European Conference on Computer Vision (ECCV), 2016 | 389 | 2016 |
| Visual Storytelling THK Huang, F Ferraro, N Mostafazadeh, I Misra, A Agrawal, J Devlin, ... NAACL, 2016 | 214 | 2016 |
| Generating Natural Questions About an Image N Mostafazadeh, I Misra, J Devlin, M Mitchell, X He, L Vanderwende arXiv preprint arXiv:1603.06059, 2016 | 189 | 2016 |
| Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection D Dwibedi, I Misra, M Hebert ICCV, 2017 | 188 | 2017 |
| Self-supervised learning of pretext-invariant representations I Misra, L Maaten Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 145 | 2020 |
| Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels I Misra, CL Zitnick, M Mitchell, R Girshick Computer Vision Pattern Recognition (CVPR), 2016 | 118 | 2016 |
| Scaling and benchmarking self-supervised visual representation learning P Goyal, D Mahajan, A Gupta, I Misra Proceedings of the IEEE International Conference on Computer Vision, 6391-6400, 2019 | 102 | 2019 |
| Watch and Learn: Semi-Supervised Learning for Object Detectors From Video I Misra, A Shrivastava, M Hebert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 97 | 2015 |
| From red wine to red tomato: Composition with context I Misra, A Gupta, M Hebert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 75 | 2017 |
| Unsupervised Learning of Visual Features by Contrasting Cluster Assignments M Caron, I Misra, J Mairal, P Goyal, P Bojanowski, A Joulin arXiv preprint arXiv:2006.09882, 2020 | 54 | 2020 |
| Does Object Recognition Work for Everyone? T de Vries, I Misra, C Wang, L van der Maaten Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 41 | 2019 |
| Unsupervised learning using sequential verification for action recognition I Misra, CL Zitnick, M Hebert CoRR, abs/1603.08561, 2016 | 41 | 2016 |
| Learning by asking questions I Misra, R Girshick, R Fergus, M Hebert, A Gupta, L Van Der Maaten Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 39 | 2018 |
| Mainstream: Dynamic stem-sharing for multi-tenant video processing AH Jiang, DLK Wong, C Canel, L Tang, I Misra, M Kaminsky, MA Kozuch, ... 2018 {USENIX} Annual Technical Conference ({USENIX}{ATC} 18), 29-42, 2018 | 35 | 2018 |
| Data-driven Exemplar Model Selection I Misra, A Shrivastava, M Hebert Winter Conference on Applications of Computer Vision, 2014 | 24 | 2014 |
| ClusterFit: Improving Generalization of Visual Representations X Yan, I Misra, A Gupta, D Ghadiyaram, D Mahajan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 15 | 2020 |
| Hybrid implementation of error diffusion dithering A Deshpande, I Misra, PJ Narayanan 2011 18th International Conference on High Performance Computing, 1-10, 2011 | 15 | 2011 |
| Audio-Visual Instance Discrimination with Cross-Modal Agreement P Morgado, N Vasconcelos, I Misra arXiv preprint arXiv:2004.12943, 2020 | 14 | 2020 |
| In Defense of Grid Features for Visual Question Answering H Jiang, I Misra, M Rohrbach, E Learned-Miller, X Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 12 | 2020 |
martial hebertCMUBestätigte E-Mail-Adresse bei ri.cmu.edu
